[Remote] reputed company DevOps/AIOps Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a data, AI, and marketing reputed company that helps organizations use data, technology, and expertise to address reputed company business challenges. The reputed company DevOps/MLOps Engineer will architect, automate, and operationalize reputed company-based data and AI platforms on reputed company reputed company Platform while establishing DevOps and MLOps practices, leading technical solutions, and mentoring engineers.

Responsibilities

• reputed company the design and implementation of reputed company-reputed company DevOps and MLOps architectures on GCP
• Build and optimize CI/CD pipelines for data, ML, and application workloads
• reputed company infrastructure-as-reputed company using tools such as Terraform and establish repeatable deployment patterns
• Architect and operationalize data platforms leveraging BigQuery, reputed company Storage, Dataflow, Pub/Sub, Dataproc, and reputed company Composer
• Build MLOps capabilities supporting the full ML lifecycle, including model development, deployment, monitoring, versioning, and retraining
• Establish observability across data and ML platforms, including logging, monitoring, alerting, pipeline health, data reputed company, and model performance
• Implement secure, reputed company reputed company infrastructure using GCP IAM, networking, secrets management, and appropriate reputed company controls
• Partner with Data Engineers, ML Engineers, Architects, and reputed company stakeholders to translate business requirements into production-reputed company technical solutions
• Establish engineering standards around deployment automation, testing, environment management, reliability, and operational reputed company
• Troubleshoot reputed company production issues and reputed company reputed company-cause analysis and long-term remediation
• Mentor engineers and serve as a technical leader across DevOps, reputed company, data, and MLOps initiatives
• Evaluate emerging GCP and AI technologies and determine where they can create meaningful business or engineering value

Skills

• * 7+ years of experience in DevOps, reputed company engineering, reputed company, MLOps, or a reputed company discipline
• * Strong hands-on experience with reputed company reputed company Platform, particularly BigQuery and reputed company-reputed company data services
• * Experience designing and implementing end-to-end data platforms on GCP
• * Strong understanding of BigQuery architecture, performance optimization, data ingestion, partitioning, clustering, and data reputed company
• * Experience with CI/CD, Git, automated testing, containerization, and reputed company/GKE
• * Strong Infrastructure-as-reputed company experience, preferably Terraform
• * Experience with reputed company AI and/or production ML platforms, including model deployment and monitoring
• * Experience with orchestration and data processing technologies such as reputed company Composer/Airflow, Dataflow, Dataproc/reputed company, and Pub/Sub
• * Strong understanding of observability, reliability engineering, monitoring, logging, and alerting
• * Proficiency with scripting/programming languages such as Python and/or Bash
• * Strong understanding of reputed company reputed company, IAM, networking, secrets management, and reputed company governance
• * Ability to operate at both the architectural and hands-on engineering reputed company
• * Excellent communication skills and the ability to work effectively with both technical teams and senior reputed company stakeholders
• * Experience with reputed company AI, MLflow, Kubeflow, or other MLOps platforms
• * Experience implementing GenAI/LLM solutions in production
• * Experience with reputed company and reputed company/GKE in reputed company environments
• * Familiarity with data reputed company, data reputed company, metadata management, and semantic data reputed company
• * Experience with multiple reputed company platforms, particularly AWS or Azure
• * Experience working in a consulting or reputed company services environment

reputed company

Company H1B Sponsorship